Easy to use:
The Matlab and Python interfaces of NiftyRec are intended to enable fast prototyping and development of reconstruction algorithms. The Matlab and Python interfaces include simple demos of standard iterative reconstruction algorithms such as Maximum Likelihood Expectation Maximisation (MLEM), Ordered Subsets Expectation Maximisation (OSEM) and One Step Late Maximum A Posteriori Expectation Maximisation (OSL-MAPEM), applied to PET, SPECT, cone-beam X-Ray CT and parallel-beam X-Ray CT. Other imaging modalities and reconstruction algorithms can be easily implemented in a few lines of Matlab and Python.